New ModusToolbox Machine Learning to Enable TinyML for Secure AIoT

ModusToolbox Machine Learning

According to Markets and Markets, the AIoT market is expected to increase from US$5.1 billion in 2019 to US$16.2 billion by 2024, growing at a CAGR of 26%. With the aim to accelerate the development of differentiated AIoT products, Infineon Technologies has announced the release of ModusToolbox Machine Learning (ML) which is a new feature in ModusToolbox Software and Tools. This new feature provides middleware, software libraries, and special tools for designers to evaluate and deploy deep learning-based ML models.

 

The ModusToolbox Machine Learning enables the seamless integration with existing frameworks available in ModusToolbox to ensure that ML workload is easily integrated into secured AIoT systems. The streamlined machine learning model deployment workflow enables developers to be more efficient and deliver quality products to market faster.

 

With ModusToolbox ML, developers can use their preferred deep learning framework, such as TensorFlow, and deploy it directly to PSoC MCUs. Moreover, this new feature in ModusToolbox Software and Tools helps designers in optimizing the model for embedded platforms thereby reducing size and complexity, besides being able to validate performance against test data.

 

This feature delivers the best developer experience and reduces the complexities that system developers face when developing AIoT applications. These applications typically require a seamless Machine Learning workload integration, along with computing, connectivity, and cloud domains that ModusToolbox ML can address. ModusToolbox is available for download from the company website.

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